CN113569480B - Sliding ring friction pair coating material reliability analysis method based on graph rolling network - Google Patents
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- 239000000463 material Substances 0.000 title claims abstract description 70
- 239000011248 coating agent Substances 0.000 title claims abstract description 53
- 238000000576 coating method Methods 0.000 title claims abstract description 53
- 238000004458 analytical method Methods 0.000 title claims abstract description 35
- 238000005096 rolling process Methods 0.000 title claims abstract description 26
- 238000009713 electroplating Methods 0.000 claims abstract description 29
- 238000002360 preparation method Methods 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims description 17
- 238000007747 plating Methods 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 12
- 238000005516 engineering process Methods 0.000 claims description 11
- 238000012549 training Methods 0.000 claims description 8
- 238000010606 normalization Methods 0.000 claims description 7
- 238000005299 abrasion Methods 0.000 claims description 6
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 claims description 3
- 239000010931 gold Substances 0.000 claims description 3
- 229910052737 gold Inorganic materials 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000004913 activation Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
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Abstract
The invention provides a slip ring friction pair coating material reliability analysis method based on a graph rolling network, which is characterized by comprising the following steps of: s1, analyzing the coating performance of a slip ring friction pair to obtain key friction pair coating material parameters affecting the reliability of the slip ring; s2, determining an electroplating preparation process to obtain electroplating preparation process parameters related to a coating material, wherein the electroplating preparation process parameters affect the reliability of the slip ring; step S3, establishing service life distribution conditions of coating friction pairs formed by different materials based on a graph rolling network; and S4, establishing a comprehensive performance knowledge base of the space sliding electric contact material, and selecting the electric contact material with reasonable reliability and service life and an electroplating preparation process based on the service life distribution condition and the comprehensive performance knowledge base.
Description
Technical Field
The invention belongs to the field of conductive friction pairs, and relates to a slip ring friction pair coating material reliability analysis method based on a graph rolling network.
Background
The space conductive slip ring is a core component of the satellite solar cell array driving mechanism, and the reliable operation of the space conductive slip ring is directly related to the success and failure of whole-satellite energy supply and tasks. The friction pair of the conductive slip ring is easy to have the problems of serious abrasion, loose structural stress, attenuation of contact stress and the like after long-term service, thereby leading to the reduction of the contact stability and the reliability of the system. The electrical contact material selected by the slip ring friction pair determines the performance of the conductive slip ring, and greatly influences the operation reliability, service life and working performance of the conductive slip ring, so that the reliability analysis is carried out on the slip ring friction pair coating material, and the research on the influence of the electrical contact material on the coating friction pair life distribution is of great significance.
At present, most of researches on the reliability of the conductive slip ring gold-plating layer material are carried out by an experimental exploration method to analyze the action rule and implementation effect of the plating layer material in terms of abrasion resistance, but the process of the conductive slip ring plating layer is complex, and the experimental exploration cost is high.
Disclosure of Invention
In order to solve the problems, the invention provides a reliability analysis method for improving the working performance and the service life of a conductive slip ring, which adopts the following technical scheme:
the invention provides a slip ring friction pair coating material reliability analysis method based on a graph rolling network, which is characterized by comprising the following steps of: s1, analyzing the coating performance of a slip ring friction pair to obtain key friction pair coating material parameters affecting the reliability of the slip ring; s2, determining an electroplating preparation process to obtain electroplating preparation process parameters related to a coating material, wherein the electroplating preparation process parameters affect the reliability of the slip ring; step S3, establishing service life distribution conditions of coating friction pairs formed by different materials based on a graph rolling network; and S4, establishing a comprehensive performance knowledge base of the space sliding electric contact material, and selecting the electric contact material with reasonable reliability and service life and an electroplating preparation process based on the service life distribution condition and the comprehensive performance knowledge base.
The analysis method for the reliability of the sliding ring friction pair coating material based on the graph rolling network provided by the invention can also have the technical characteristics that the analysis comprises the analysis of the basic mechanical property and the analysis of the friction and wear properties of the sliding ring friction pair coating material.
The analysis method for the reliability of the sliding ring friction pair coating material based on the graph rolling network provided by the invention can also have the technical characteristics that the electroplating preparation process comprises a pre-plating treatment process technology, an electroplating transition layer process technology, a wear-resistant electroplating hard gold process technology and a coating performance analysis and test method.
The analysis method for the reliability of the sliding ring friction pair coating material based on the graph rolling network provided by the invention can also have the technical characteristics that the step S3 comprises the following sub-steps: s3-1, carrying out data preprocessing on sample data by adopting a normalization method; s3-2, constructing a k-nearest neighbor graph by taking all data samples as vertexes and obtaining friction pair coating material graph data; s3-3, constructing a graph convolution network and carrying out parameter training on the graph convolution network; and S3-4, predicting the service life distribution condition of the slip ring friction pair in the mechanical abrasion and electrical contact condition by using forward propagation according to the result of parameter training, and providing decision information for the electrical contact material selection.
The analysis method for the reliability of the sliding ring friction pair coating material based on the graph rolling network provided by the invention can also have the technical characteristics that the normalization method is as follows:
where Max and Min represent the maximum value and the minimum value of each feature data, respectively.
The actions and effects of the invention
According to the analysis method of the reliability of the sliding ring friction pair coating material based on the graph convolution network, the coating performance of the sliding ring friction pair and the electroplating preparation process are analyzed to obtain relevant parameters, the service life distribution condition of the coating friction pair is obtained based on the trained graph convolution network, and the electrical contact material and the electroplating preparation process technology are reasonably selected from the built knowledge base of the comprehensive performance and reliability of various space sliding electrical contact materials according to the service life distribution condition of the coating friction pair, so that the purpose of improving the operation reliability and service life of the conductive sliding ring is finally achieved. In the invention, the study on the life distribution of the plating friction pair can be obtained through a graph rolling network after training, and compared with the prior experimental study, the method has low cost and high efficiency, and has great significance on studying the influence of the electric contact material on the life distribution of the plating friction pair.
Drawings
FIG. 1 is a flow chart of a slip ring friction pair coating material reliability analysis method based on a graph rolling network in an embodiment of the invention;
FIG. 2 is a diagram of a network structure for analyzing the reliability of a slip ring friction pair coating material based on a graph convolutional network in an embodiment of the invention;
fig. 3 is a schematic diagram of a k-nearest neighbor graph construction method based on slip ring friction pair material data in an embodiment of the invention.
Detailed Description
In order to make the technical means, creation characteristics, achievement purposes and effects of the invention easy to understand, the reliability analysis method of the sliding ring friction pair coating material based on the graph rolling network of the invention is specifically described below with reference to the embodiments and the attached drawings.
< example >
FIG. 1 is a flow chart of a slip ring friction pair coating material reliability analysis method based on a graph rolling network in an embodiment of the invention.
As shown in fig. 1, the analysis method for the reliability of the sliding ring friction pair coating material based on the graph convolution network comprises the following steps:
and S1, analyzing the coating performance of the slip ring friction pair to obtain the key friction pair coating material parameters affecting the reliability of the slip ring.
In this embodiment, the basic mechanical properties and the frictional wear properties of the slip ring friction pair coating material are analyzed by testing the properties of the related self-lubricating materials.
And S2, determining an electroplating preparation process to obtain electroplating preparation process parameters related to a coating material, wherein the electroplating preparation process parameters affect the reliability of the slip ring.
In this embodiment, the electroplating preparation process includes a pre-plating treatment process technology, a plating transition layer process technology, a wear-resistant hard gold electroplating process technology, and a plating performance analysis and test method.
And step S3, establishing service life distribution conditions of coating friction pairs formed by different materials based on a graph rolling network.
FIG. 2 is a diagram of a network structure for analyzing the reliability of a slip ring friction pair coating material based on a graph rolling network.
As shown in fig. 2, the step S3 specifically includes the following sub-steps:
and S3-1, carrying out data preprocessing on the sample data by adopting a normalization method.
In this embodiment, based on the parameters obtained in step S1 and step S2, slip ring reliability experiments are performed on the parameters to obtain experimental data, and the experimental data are used as sample data and normalized by using a (0, 1) normalization method. Specifically:
by traversing all sample data, the maximum value and the minimum value of each sample data are found and recorded, and the data normalization method is as follows:
where Max and Min represent the maximum value and the minimum value of each feature data, respectively.
And S3-2, constructing a k-nearest neighbor graph by taking all data samples as vertexes, and obtaining friction pair coating material graph data.
Fig. 3 is a schematic diagram of a k-nearest neighbor graph construction method based on slip ring friction pair material data in an embodiment of the invention.
In this embodiment, the value of k is selected according to the number of sample classes, and k neighbors of each node are obtained by euclidean distance. Specifically:
as shown in fig. 3, each node in the graph represents one sample, and the euclidean distance between each sample and other samples is obtained by the following calculation formula:
wherein x is im And x jm Respectively node x i And x j D is the number of input variables.
And when k=1, taking a sample with the smallest Euclidean distance with the sample as a continuous edge, when k=2, taking a sample with the smallest Euclidean distance with the sample and the second smallest Euclidean distance as a continuous edge, and so on, finally obtaining a k-neighbor graph, wherein the continuous edge weight of the graph is expressed by a parameter matrix W, and the calculation formula of the parameter matrix W corresponding to the k-neighbor graph is as follows:
in the method, in the process of the invention,n is the total number of samples, w ij Is node x i And x j The weight of the connecting edge between the two parts,is the average euclidean distance between all nodes in the graph.
Thus, the parameter matrix W describes local geometry information between the sample data, if node x i And x j There is an edge connection between them, and the closer the distance is, the more w ij The closer to 1.
And S3-3, constructing a graph convolution network and performing parameter training on the graph convolution network.
In this embodiment, a two-layer graph rolling network is constructed, and given the input data X and the adjacency matrix A, the output H of the ith hidden layer of the network (i+1) The definition is as follows:
in the method, in the process of the invention,is an adjacency matrix with self-circulation, wherein I n ∈R n*n Is an identity matrix>Is->Degree matrix of (2), the formula is->H (i+1) Is a feature of each (i+1) layer, H for the input layer (1) Namely X, W (i+1) Is the parameter matrix of the (i+1) th layer neural network, W for the 1 st hidden layer (1) =w, σ is a nonlinear activation function, e.g. ReLU or Sigmoid.
And S3-4, predicting the service life distribution condition of the slip ring friction pair in the mechanical abrasion and electrical contact condition by using forward propagation according to the result of parameter training, and providing decision information for the electrical contact material selection.
The characteristics of each node change from X to Z through the several layers of the graph-rolling network, but the connection relationship between the nodes, a, is shared no matter how many layers there are in between.
In this embodiment, the graph rolling network is two layers, and the activation functions respectively adopt ReLU and Softmax, so that the integral forward propagation formula is as follows:
where ReLU is the activation function used in the first layer of the graph convolution, reLU (x) =max (0, x), the output of the final layer of graph convolution is classified by a Softmax classifier,
in the embodiment, the service life distribution condition is composed of mechanical abrasion and electric contact conditions of plating friction pairs formed by different materials, and analysis modeling is carried out on the service life distribution condition so as to master the comprehensive performance and reliability of the slip ring electric contact material and provide decision information for electric contact material selection.
And S4, establishing a comprehensive performance knowledge base of the space sliding electric contact material, and selecting the electric contact material with reasonable reliability and service life and an electroplating preparation process based on the service life distribution condition and the comprehensive performance knowledge base.
In the embodiment, a knowledge base of the comprehensive performance and reliability of various space sliding electric contact materials is established, so that the purpose of improving the operation reliability and service life of the conductive slip ring is achieved, and the electric contact materials and the electroplating preparation process are reasonably selected.
Example operation and Effect
According to the analysis method for the reliability of the sliding ring friction pair coating material based on the graph convolution network, the coating performance of the sliding ring friction pair and the electroplating preparation process are analyzed to obtain relevant parameters, the service life distribution condition of the coating friction pair is obtained based on the trained graph convolution network, and the electric contact material and the electroplating preparation process technology are reasonably selected from the built knowledge base of the comprehensive performance and reliability of various space sliding electric contact materials according to the service life distribution condition of the coating friction pair, so that the purpose of improving the operation reliability and service life of the conductive sliding ring is finally achieved. In the embodiment, the study on the life distribution of the plating friction pair can be obtained through a graph rolling network after training, and compared with the prior experimental study, the method has low cost and high efficiency, and has great significance on studying the influence of the electric contact material on the life distribution of the plating friction pair.
The above examples are only for illustrating the specific embodiments of the present invention, and the present invention is not limited to the description scope of the above examples.
Claims (4)
1. A reliability analysis method of a sliding ring friction pair coating material based on a graph rolling network is used for carrying out reliability analysis on the sliding ring friction pair coating material and friction pair service life distribution, and is characterized by comprising the following steps:
s1, analyzing the coating performance of the slip ring friction pair to obtain key friction pair coating material parameters affecting the reliability of the slip ring;
s2, determining an electroplating preparation process to obtain electroplating preparation process parameters related to a coating material, wherein the electroplating preparation process parameters affect the reliability of the slip ring;
step S3, establishing service life distribution conditions of coating friction pairs formed by different materials based on a graph rolling network;
step S4, establishing a comprehensive performance knowledge base of the space sliding electric contact material, selecting the electric contact material with reasonable reliability and service life and the electroplating preparation process based on the service life distribution condition and the comprehensive performance knowledge base,
wherein, the step S3 comprises the following substeps:
s3-1, carrying out data preprocessing on sample data by adopting a normalization method;
s3-2, constructing a k-nearest neighbor graph by taking all data samples as vertexes and obtaining friction pair coating material graph data;
s3-3, constructing a graph convolution network and carrying out parameter training on the graph convolution network;
and S3-4, predicting the service life distribution condition of the slip ring friction pair in the mechanical abrasion and electrical contact condition by using forward propagation according to the result of parameter training, and providing decision information for the selection of the electrical contact material.
2. The analysis method for reliability of slip ring friction pair coating material based on graph rolling network according to claim 1, wherein the analysis method is characterized by comprising the following steps:
wherein the analysis comprises analysis of the basic mechanical properties of the slip ring friction pair coating material and analysis of friction and wear properties.
3. The analysis method for reliability of slip ring friction pair coating material based on graph rolling network according to claim 1, wherein the analysis method is characterized by comprising the following steps:
the electroplating preparation process comprises a pre-plating treatment process technology, an electroplating transition layer process technology, a wear-resistant electroplating hard gold process technology and a plating performance analysis and test method.
4. The analysis method for reliability of slip ring friction pair coating material based on graph rolling network according to claim 1, wherein the analysis method is characterized by comprising the following steps:
the normalization method comprises the following steps:
where Max and Min represent the maximum value and the minimum value of each feature data, respectively.
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